Description
BlackRock's Index Equity Technology team is seeking a Quantitative Developer to improve business efficiency and scalability. The successful candidate will design, develop, and enhance portfolio engineering algorithms that support index portfolio construction, optimisation, trading, and risk management processes.
Responsibilities:
- Implement an innovative platform in Python for developing, deploying, maintaining, and monitoring portfolio engineering algorithms
- Maintain the Algo ecosystem with Python engineering principles
- Apply quantitative analysis, statistical techniques, and large-scale data processing to improve portfolio management workflows and operational efficiency
- Identify opportunities for improvement of operational processes using data analytics
- Understand the BlackRock technology platform and integrate portfolio engineering algorithms into it
- Work with BlackRock technology teams to ensure they understand requirements and build well-suited tools
Requirements:
- 3+ years of experience in Python programming, Algo engineering, or Quantitative Development
- Bachelor's or Master's Degree in Computer Science, Engineering, or a quantitative field
- Strong programming skills in Python and/or Java
- Experience with SDLC, agile development methodologies, and version control
- Knowledge of the Scientific Python stack and statistical processing
- Excellent analytical, problem-solving skills, and attention to detail
Benefits:
- Comprehensive retirement plan
- Tuition reimbursement
- Healthcare benefits
- Support for working parents
- Flexible Time Off (FTO)
Hybrid Work Model:
- Work at least 4 days in the office per week, with flexibility to work from home 1 day a week